Cooper H John, Della Valle Craig J
Lenox Hill Hospital, Department of Orthopaedic Surgery, 130 East 77th Street, 11th Floor, New York, NY 10075, USA.
Expert Opin Med Diagn. 2013 May;7(3):257-63. doi: 10.1517/17530059.2013.783010. Epub 2013 Mar 22.
Identification of periprosthetic joint infection (PJI) is critical, as the treatment between infected and non-infected arthroplasties is fundamentally different and missing the diagnosis may lead to a delay in diagnosis and the potential for a decreased rate of treatment success. Yet in the absence of a true gold standard, the diagnosis of PJI can be elusive. Given the rising incidence of this PJI and the growing infection burden anticipated in coming years, much effort is being put toward improving diagnostic tests for PJI.
The best current practice for diagnosis of PJI is to follow an algorithmic approach. Emerging technology such as advanced imaging modalities, increasing availability of serum markers, synovial fluid biomarker analysis and new point-of-care modalities offer the potential to greatly enhance our ability to identify PJI in the future.
As there has been more focus on the diagnosis of PJI in recent years, new tests have been developed. These new tests will need to be rigorously evaluated before being incorporated into the diagnostic algorithm. Synovial fluid biomarker analysis and greater access to point-of-care testing may allow the biggest improvements in the diagnosis of PJI in the near future.
人工关节周围感染(PJI)的识别至关重要,因为感染性和非感染性关节成形术的治疗方法根本不同,漏诊可能导致诊断延迟,并有可能降低治疗成功率。然而,在缺乏真正金标准的情况下,PJI的诊断可能难以捉摸。鉴于PJI的发病率不断上升以及预计未来感染负担会增加,人们正在付出很多努力来改进PJI的诊断测试。
目前诊断PJI的最佳做法是采用算法方法。先进成像模式等新兴技术、血清标志物可用性增加、滑液生物标志物分析和新的即时检测模式,有望在未来极大地提高我们识别PJI的能力。
近年来对PJI诊断的关注增多,已经开发了新的检测方法。这些新检测方法在纳入诊断算法之前需要进行严格评估。滑液生物标志物分析和更广泛地使用即时检测可能会在不久的将来使PJI的诊断得到最大改善。